Benchmark result
unsloth/NVIDIA-Nemotron-3-Nano-4B-GGUF on NVIDIA GeForce RTX 4070 — 91.9 tok/s
Measured with llama.cpp unsloth-studio/v0.1.810-beta on September 18, 2026.
What the model built
Open full screen →The coding scenario asks for a playable game in a single HTML file. This is exactly what the model returned, unedited; the frame only adds a line that tells this page how tall it is.
How this run compares
3rd fastest of 4 runs of this model on NVIDIA GeForce RTX 4070 · median 93.5 tok/s.
sort
- 195.3tok/s39.4Unsloth Studio · UD-Q6_K_XL · KV f16
- 295.0tok/s51.3llama.cpp
- 391.9tok/s41.6llama.cppthis run
- 491.6tok/s39.5llama.cpp
unsloth/NVIDIA-Nemotron-3-Nano-4B-GGUF on other hardware
Reproduce this run
toolllama.cpp unsloth-studio/v0.1.810-beta
modelunsloth/NVIDIA-Nemotron-3-Nano-4B-GGUF
context379,392
thinkingon
samplingtemperature 0.800000011920929 · top_p 0.949999988079071 · top_k 40 · min_p 0.05000000074505806 · presence_penalty 0 · repeat_penalty 1
clientv0.4.59+97
Set those in llama.cpp, then:
llm-benchmark benchmark --model "unsloth/NVIDIA-Nemotron-3-Nano-4B-GGUF" --tool "llama.cpp"The client prompts for context length and thinking mode, and for the KV cache dtype on Unsloth Studio. Sampling is left at the model default — the values above are what the tool reported using, not overrides the client sent.